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      <h1 class="post-title">Solr7中的learnin to rank使用</h1>

      <div class="post-meta">
        <span class="post-time"> 2018-03-19 </span>
        
          <span class="more-meta"> 约 957 字 </span>
          <span class="more-meta"> 预计阅读 2 分钟 </span>
        
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  <h2 class="post-toc-title">文章目录</h2>
  <div class="post-toc-content always-active">
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  <ul>
    <li><a href="#提取feature的值">提取feature的值</a></li>
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</div>
    <div class="post-content">
      <p>什么是learning to rank在此往篇文章不做介绍，这里只介绍如何使用。主要针对cloud模式启动的solr。使用的版本是solr-7.1.0，本文以外的请参考<a href="http://lucene.apache.org/solr/guide/7_1/learning-to-rank.html#installation-of-ltr">官方文档</a></p>
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<h1 id="安装">安装</h1>
<p><code>solr-ltr-7.1.0.jar</code>已经自带在solr的发行包里面，只需要在<code>solrconfig.xml</code>配置即可，把下面的内容添加到<code>solrconfig.xml</code></p>
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<pre class="chroma"><code class="language-xml" data-lang="xml"><span class="nt">&lt;lib</span> <span class="na">dir=</span><span class="s">&#34;${solr.install.dir:../../../..}/dist/&#34;</span> <span class="na">regex=</span><span class="s">&#34;solr-ltr-\d.*\.jar&#34;</span> <span class="nt">/&gt;</span>
<span class="nt">&lt;queryParser</span> <span class="na">name=</span><span class="s">&#34;ltr&#34;</span> <span class="na">class=</span><span class="s">&#34;org.apache.solr.ltr.search.LTRQParserPlugin&#34;</span><span class="nt">/&gt;</span>
<span class="nt">&lt;cache</span> <span class="na">name=</span><span class="s">&#34;QUERY_DOC_FV&#34;</span>
       <span class="na">class=</span><span class="s">&#34;solr.search.LRUCache&#34;</span>
       <span class="na">size=</span><span class="s">&#34;4096&#34;</span>
       <span class="na">initialSize=</span><span class="s">&#34;2048&#34;</span>
       <span class="na">autowarmCount=</span><span class="s">&#34;4096&#34;</span>
       <span class="na">regenerator=</span><span class="s">&#34;solr.search.NoOpRegenerator&#34;</span> <span class="nt">/&gt;</span>
<span class="nt">&lt;transformer</span> <span class="na">name=</span><span class="s">&#34;features&#34;</span> <span class="na">class=</span><span class="s">&#34;org.apache.solr.ltr.response.transform.LTRFeatureLoggerTransformerFactory&#34;</span><span class="nt">&gt;</span>
  <span class="nt">&lt;str</span> <span class="na">name=</span><span class="s">&#34;fvCacheName&#34;</span><span class="nt">&gt;</span>QUERY_DOC_FV<span class="nt">&lt;/str&gt;</span>
<span class="nt">&lt;/transformer&gt;</span>
</code></pre></td></tr></table>
</div>
</div><p>添加了以上的配置后还需要把<code>dist</code>目录下的<code>solr-ltr-7.1.0.jar</code>拷贝到<code>server/solr-webapp/webapp/WEB-INF/lib/</code>目录下面，如果不添加的话，用rest api设置model的时候会报class not found exception。</p>
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<h1 id="上传feature">上传feature</h1>
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<pre class="chroma"><code class="language-json" data-lang="json"><span class="p">[</span>
    <span class="p">{</span>
        <span class="nt">&#34;store&#34;</span><span class="p">:</span> <span class="s2">&#34;featureStore&#34;</span><span class="p">,</span>
        <span class="nt">&#34;name&#34;</span><span class="p">:</span> <span class="s2">&#34;title&#34;</span><span class="p">,</span>
        <span class="nt">&#34;class&#34;</span><span class="p">:</span> <span class="s2">&#34;org.apache.solr.ltr.feature.SolrFeature&#34;</span><span class="p">,</span>
        <span class="nt">&#34;params&#34;</span><span class="p">:</span> <span class="p">{</span>
            <span class="nt">&#34;q&#34;</span><span class="p">:</span> <span class="s2">&#34;{!func}query({!v=title:${query}})&#34;</span>
        <span class="p">}</span>
    <span class="p">},</span>
    <span class="p">{</span>
        <span class="nt">&#34;store&#34;</span><span class="p">:</span> <span class="s2">&#34;featureStore&#34;</span><span class="p">,</span>
        <span class="nt">&#34;name&#34;</span><span class="p">:</span> <span class="s2">&#34;content&#34;</span><span class="p">,</span>
        <span class="nt">&#34;class&#34;</span><span class="p">:</span> <span class="s2">&#34;org.apache.solr.ltr.feature.SolrFeature&#34;</span><span class="p">,</span>
        <span class="nt">&#34;params&#34;</span><span class="p">:</span> <span class="p">{</span>
            <span class="nt">&#34;q&#34;</span><span class="p">:</span> <span class="s2">&#34;{!func}query({!v=content:${query}})&#34;</span>
        <span class="p">}</span>
    <span class="p">},</span>
    <span class="p">{</span>
        <span class="nt">&#34;store&#34;</span><span class="p">:</span> <span class="s2">&#34;featureStore&#34;</span><span class="p">,</span>
        <span class="nt">&#34;name&#34;</span><span class="p">:</span> <span class="s2">&#34;originalScore&#34;</span><span class="p">,</span>
        <span class="nt">&#34;class&#34;</span><span class="p">:</span> <span class="s2">&#34;org.apache.solr.ltr.feature.OriginalScoreFeature&#34;</span><span class="p">,</span>
        <span class="nt">&#34;params&#34;</span><span class="p">:</span> <span class="p">{}</span>
    <span class="p">},</span>
    <span class="p">{</span>
        <span class="nt">&#34;store&#34;</span><span class="p">:</span> <span class="s2">&#34;featureStore&#34;</span><span class="p">,</span>
        <span class="nt">&#34;name&#34;</span><span class="p">:</span> <span class="s2">&#34;level&#34;</span><span class="p">,</span>
        <span class="nt">&#34;class&#34;</span><span class="p">:</span> <span class="s2">&#34;org.apache.solr.ltr.feature.FieldValueFeature&#34;</span><span class="p">,</span>
        <span class="nt">&#34;params&#34;</span><span class="p">:</span> <span class="p">{</span>
            <span class="nt">&#34;field&#34;</span><span class="p">:</span> <span class="s2">&#34;level&#34;</span>
        <span class="p">}</span>
    <span class="p">},</span>
    <span class="p">{</span>
        <span class="nt">&#34;store&#34;</span><span class="p">:</span> <span class="s2">&#34;featureStore&#34;</span><span class="p">,</span>
        <span class="nt">&#34;name&#34;</span><span class="p">:</span> <span class="s2">&#34;year&#34;</span><span class="p">,</span>
        <span class="nt">&#34;class&#34;</span><span class="p">:</span> <span class="s2">&#34;org.apache.solr.ltr.feature.FieldValueFeature&#34;</span><span class="p">,</span>
        <span class="nt">&#34;params&#34;</span><span class="p">:</span> <span class="p">{</span>
            <span class="nt">&#34;field&#34;</span><span class="p">:</span> <span class="s2">&#34;year&#34;</span>
        <span class="p">}</span>
    <span class="p">}</span>
<span class="p">]</span>
</code></pre></td></tr></table>
</div>
</div><p>上面是四个feature：</p>
<ol>
<li>取标题的score，使用query函数，通过参数的形式传入查询词，<a href="http://lucene.apache.org/solr/guide/7_1/learning-to-rank.html#external-feature-information">External Feature Information</a>。${query}是一个占位符，传参数是这样的efi.query=&lsquo;YOUR KEYWORD&rsquo;</li>
<li>取内容字段content的score，同上</li>
<li>originalScore是不使用ltr的原来默认的score值</li>
<li>直接取level字段的值</li>
<li>同上3，取year字段的值</li>
</ol>
<p>使用下面的命令上传feature</p>
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<pre class="chroma"><code><span class="lnt">1
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<pre class="chroma"><code class="language-bash" data-lang="bash">curl -XPUT <span class="s1">&#39;http://localhost:8983/solr/collection_name/schema/feature-store&#39;</span> -d <span class="s2">&#34;your json string&#34;</span> -H <span class="s1">&#39;Content-type:application/json&#39;</span>
</code></pre></td></tr></table>
</div>
</div><p>查看feature可以使用下面的url
<code>http://host:port/solr/collection_name/schema/feature-store</code></p>
<p>查看具体的feature
<code>http://host:port/solr/collection_name/schema/feature-store/featureStore</code></p>
<h2 id="提取feature的值">提取feature的值</h2>
<p>上传完feature，就可以通过下面的url查看每个文档各个feature的值。</p>
<div class="highlight"><div class="chroma">
<table class="lntable"><tr><td class="lntd">
<pre class="chroma"><code><span class="lnt">1
</span></code></pre></td>
<td class="lntd">
<pre class="chroma"><code class="language-fallback" data-lang="fallback">http://host:port/solr/collection_name/query?q=YOUR_KEYWORD&amp;fl=id,score,[features store=featureStore efi.query=&#39;YOUR_KEYWORD&#39;]
</code></pre></td></tr></table>
</div>
</div><h1 id="上传model">上传model</h1>
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<pre class="chroma"><code class="language-json" data-lang="json"><span class="p">{</span>
  <span class="nt">&#34;class&#34;</span><span class="p">:</span> <span class="s2">&#34;org.apache.solr.ltr.model.LinearModel&#34;</span><span class="p">,</span>
  <span class="nt">&#34;store&#34;</span><span class="p">:</span> <span class="s2">&#34;featureStore&#34;</span><span class="p">,</span>
  <span class="nt">&#34;name&#34;</span><span class="p">:</span> <span class="s2">&#34;modelStore&#34;</span><span class="p">,</span>
  <span class="nt">&#34;features&#34;</span><span class="p">:</span> <span class="p">[</span>
    <span class="p">{</span><span class="nt">&#34;name&#34;</span><span class="p">:</span> <span class="s2">&#34;title&#34;</span><span class="p">},</span>
    <span class="p">{</span><span class="nt">&#34;name&#34;</span><span class="p">:</span> <span class="s2">&#34;content&#34;</span><span class="p">},</span>
    <span class="p">{</span><span class="nt">&#34;name&#34;</span><span class="p">:</span> <span class="s2">&#34;originalScore&#34;</span><span class="p">},</span>
    <span class="p">{</span><span class="nt">&#34;name&#34;</span><span class="p">:</span> <span class="s2">&#34;level&#34;</span><span class="p">},</span>
    <span class="p">{</span><span class="nt">&#34;name&#34;</span><span class="p">:</span> <span class="s2">&#34;year&#34;</span><span class="p">}</span>
  <span class="p">],</span>
  <span class="nt">&#34;params&#34;</span><span class="p">:</span> <span class="p">{</span>
    <span class="nt">&#34;weights&#34;</span><span class="p">:</span> <span class="p">{</span>
      <span class="nt">&#34;title&#34;</span><span class="p">:</span> <span class="mf">0.420081550114</span><span class="p">,</span>
      <span class="nt">&#34;content&#34;</span><span class="p">:</span> <span class="mf">-0.054514139045</span><span class="p">,</span>
      <span class="nt">&#34;originalScore&#34;</span><span class="p">:</span> <span class="mf">0.0413832540555</span><span class="p">,</span>
      <span class="nt">&#34;level&#34;</span><span class="p">:</span> <span class="mf">-0.0150990612159</span><span class="p">,</span>
      <span class="nt">&#34;year&#34;</span><span class="p">:</span> <span class="mf">1.0</span>
    <span class="p">}</span>
  <span class="p">}</span>
<span class="p">}</span>
</code></pre></td></tr></table>
</div>
</div><p>这个模型配置使用一个<a href="https://lucene.apache.org/solr/7_1_0//solr-ltr/org/apache/solr/ltr/model/LinearModel.html">线性函数</a>来对搜索结果进行再次打分</p>
<p>查找模型
<code>http://host:port/solr/collection_name/model-store</code></p>
<h1 id="打分">打分</h1>
<p>在查询的时候指定rq参数使用ltr，然后指定使用的model，传入需要的参数即可。针对上面的feature和model使用下面的url进行查询</p>
<div class="highlight"><div class="chroma">
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<pre class="chroma"><code><span class="lnt">1
</span></code></pre></td>
<td class="lntd">
<pre class="chroma"><code class="language-fallback" data-lang="fallback">http://host:port/solr/collection_name/query?q=YOUR_KEYWORD&amp;rq={!ltr model=modelStore reRankDocs=100 efi.query=&#39;YOUR_KEYWORD&#39;}&amp;fl=id,score,[features store=featureStore efi.query=&#39;YOUR_KEYWORD&#39;]
</code></pre></td></tr></table>
</div>
</div><p>这个url可以使用ltr进行打分，同时还可以取到各个feature的值。</p>

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    <div class="post-copyright">
  <p class="copyright-item">
    <span class="item-title">文章作者</span>
    <span class="item-content">Kevin Jiang</span>
  </p>
  <p class="copyright-item">
    <span class="item-title">上次更新</span>
    <span class="item-content">
        2018-03-19
        
    </span>
  </p>
  
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